Built for specific workflows and your existing data and systems. Permissions, security controls and human approval are tailored to the workflow. Start with one well-defined use case.
The challenge
A generic chat rarely knows your process, responsibilities or system boundaries. Therefore, we start from the specific workflow: inputs, sources, decisions, actions and approvals.
The task determines the architecture, not the other way around.
AI solutions
We choose the simplest sufficient solution and only expand when the workflow has been tested.
Portals, forms, dashboards and approval queues designed for the employee's actual task, not necessarily as a chat.
Agents with a defined target, approved data sources, named tools and clear stop and escalation rules.
Fixed process steps combined with AI where the task requires interpretation of text, documents or unstructured input.
Controlled connections to document stores, ERP, CRM, project management, databases, e-mail and other approved sources.
Access, data minimisation, retention, logging and human approvals are chosen based on the data and potential consequences.
We provide expertise in machinery, PLC/SCADA, instrumentation and process data where digital and physical workflows meet.
Use cases
The examples are solution patterns that we can develop and adapt. The meeting assistant is an internal pilot; the others are not finished standard products.
Internal pilot
A visible Teams guest can, after explicit start, collect live captions and prepare a structured minutes draft. The solution requires a new pilot, consent, retention and final control in each customer environment.
Project
Collects status, finds missing input and suggests next action based on approved project sources.
Knowledge
Searches approved documents and shows sources, document versions and gaps in the available information.
Documentation
Converts notes, forms and technical input into structured drafts and shortfall lists.
Quotations
Structures customer requirements, identifies gaps and prepares a quotation draft with clearly marked assumptions.
Service
Collects history, fault descriptions, images and relevant documents for an initial triage.
Custom apps and agents
A custom app can be a portal, form, approval queue, case overview or integrated assistant. It doesn't have to look like a traditional chat.
Answers questions, but usually does not know the full process, responsibilities or allowed system actions.
Performs known steps according to fixed rules. It is often the right solution when the task can be described precisely.
Interprets input and selects from a limited set of tools and sources under clear instructions.
Brings together user interface, process status, rules, integrations, agents and approvals in one work tool.
Multi-agent architecture is only used when clearly separated roles provide a real advantage. More agents are not in themselves a better solution.
Agent structure
A solution can be partitioned, but the simplest sufficient architecture is chosen first.
Checks that input is complete and in an expected format.
Finds relevant information and maintains source references.
Prepares a result based on the task, the sources and the agreed quality requirements.
Marks deficiencies, conflicting information and conditions that require professional assessment.
An employee approves the result before a bounded integration component performs a permitted action.
Process
Five steps with scoping, testing and clear decision points.
Task, users, input, output and current bottlenecks.
Sources, access, sensitivity, consistency and approvals.
Read-only or draft-based solution with realistic test data.
Quality, failure modes, access and practicality.
Documented operation, monitoring, fallback and change management.
Why Engineering Autonomous
We combine process understanding, integration, data and practical automation. This means that AI is not treated as an isolated tool, but as a controlled part of the work.
Security and control
Security is described as specific design choices, not as a general promise.
Level 1
The agent can retrieve and collate information from approved sources, but not change data.
Level 2
The agent can prepare drafts and amendments. An employee decides whether they are used.
Level 3
An authorised person approves a concrete action and its consequence before execution.
Level 4
Only pre-approved, limited and reversible actions. Unknown or critical actions are stopped.
Data minimisation, restricted data sources, role-based access, least privilege, retention, credential management, audit trails, environment separation, monitoring and fallback procedures are specified based on the data and potential consequences.
Engagement model
Choose a defined process from audit to pilot and ongoing collaboration.
Start
Pilot
Partner
Pricing
Indicative price levels for audit, pilot and ongoing specialist assistance.
Low-risk start
1–2 workshops, process map, 3 prioritised cases and rough ROI estimate.
Deep mapping
Roadmap, business case and technical solution sketch as basis for PoC or implementation.
Prototype
Prototype of one concrete digital or physical automation with test, feedback and measurement.
Open scope
Consulting, implementation, workshop, troubleshooting or documentation.
Specialist hours
Lower level for longer tasks with a clear scope; higher for specialist, integration and AI tasks.
Ongoing help
Ongoing access to advice, small changes, roadmap and support.
All amounts exclude VAT. Hardware, third-party software and subcontractors are billed separately by agreement.
See what an Automation Audit contains → Read our insights on AI agents and automation →
FAQ
Not as a core service. We design the solution around a specific task, user group, data source and decision-making process.
No. It can be a portal, form, approval queue, document view, dashboard or integrated function in an existing system.
No. We use a multi-agent architecture only when clearly separated roles provide a demonstrable advantage.
Often yes, if there is a sound integration path. We typically start with read-only access or controlled file import and clarify APIs, rights and data quality first.
The level of agency is chosen per workflow. Critical, external or irreversible actions should normally require human approval.
We define requirements for data minimisation, access, hosting, model providers, retention, logging and deletion. The specific security profile is documented for the solution.
Choose one specific workflow with known users, input and desired output. An audit or limited pilot can then test value and risk.
Yes. Industrial automation, PLC/SCADA, instrumentation and process data are retained as a secondary competence area and technical foundation.
Contact
Describe one specific work task that requires a lot of searching, copying, coordination or checking. Then we assess whether AI, classic automation or a combination is the right way.